Personal profile
OECD Fields of Science
- 3. Medical and Health Sciences
- 1.3 Physical Sciences
- 1.6 Biological Sciences
- 1.2 Computer and Information Sciences
- 3.1 Basic Medicine
- 2.6 Medical Engineering
- 2.5 Materials Engineering
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 15 Life on Land
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Dive into the research topics where Ilze Ļihačova is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multispectral imaging and autofluorescence photobleaching combined in a multi-head neural network for skin cancer classification
Jumutc, V., Bondarenko, A., Kovalovs, M., Lihacova, I., Lihachev, A. & Bļizņuks, D., 2026, In: Frontiers in Medicine. 13, 1763105.Research output: Contribution to journal › Article › peer-review
Open Access -
Adapted Correlation Methods for Laser Speckle Imaging of Microbial Activity: Evaluation and Rationale
Balmages, I., Smite, K., Saknīte, I., Reinis, A., Ļihačovs, A. & Ļihačova, I., Sept 2025, In: Sensors. 25, 18, 5772.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Analysis and improvement of the accumulation algorithm for assessing microorganism activity using laser speckle imaging
Balmages, I., Bliznuks, D., Kovalovs, M., Fraimans, M., Lihachev, A. & Lihacova, I., 2025, Optical Sensors 2025. Baldini, F., Homola, J. & Lieberman, R. A. (eds.). SPIE, 135271D. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13527).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
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Classification of Microbial Activity and Inhibition Zones Using Neural Network Analysis of Laser Speckle Images
Balmages, I., Saknīte, I., Poļaka, I., Ļihačovs, A. & Ļihačova, I., Jun 2025, In: Sensors. 25, 11, p. 1-21 3462.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Machine learning-based analysis of autofluorescence photobleaching kinetics for basal cell carcinoma classification and diagnostics
Lihachev, A., Bliznuks, D., Plorina, E. V., Lihacova, I., Kiss, N. & Jumutc, V., 2025, Optical Sensors 2025. Baldini, F., Homola, J. & Lieberman, R. A. (eds.). SPIE, 135270Z. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 13527).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research › peer-review
Datasets
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High throughput Laser speckle imaging to speed up experiments in microbiology
University of Latvia, Zenodo, 12 Feb 2026
Dataset
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High throughput Laser speckle imaging to speed up experiments in microbiology
Lihachev, A. (Creator) & Ļihačova, I. (Creator), Zenodo, 12 Feb 2026
Dataset